VIOVIO Survey BenchmarkGitHub Pages reproducible benchmark

Dataset documentation

Five benchmark domains

Dataset pages describe scenario, sensor modalities, ground-truth source, and VIO stressors. Sequence lists stay TBD until the benchmark repository publishes the exact case set.

Dataset cards

What each dataset tests

The site documents why each dataset belongs in the benchmark before presenting numbers.

01

Drone / MAV

EuRoC MAV

Classic indoor visual-inertial sequences with motion-capture ground truth.

Modalities
stereo, imu
Sequences
V1_01_easy now; additional sequences TBD
Ground truth
Motion capture / Leica depending sequence
02

High-dynamic FPV

UZH-FPV

Aggressive flight, fast rotations, blur, and rapid viewpoint changes.

Modalities
camera, imu
Sequences
TBD
Ground truth
Dataset-provided reference
03

Large-scale AR

LaMAria

Longer trajectories, calibration sensitivity, and changing scene structure.

Modalities
camera, imu
Sequences
TBD
Ground truth
Dataset-provided reference
04

Legged robot / long trajectory

GrandTour

Long-horizon robot motion, scene transitions, and platform vibration.

Modalities
camera, imu
Sequences
TBD
Ground truth
Dataset-provided reference
05

Underwater

Aqualoc

Low texture, turbidity, illumination variation, and underwater visual degradation.

Modalities
camera, imu
Sequences
TBD
Ground truth
Dataset-provided reference